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포스터 세션 P13

Estimation of lead contamination concentration in sediments using electrical resistivity and multivariate statistical techniques

초록

영어

Stream and lake sediments can become contaminated with heavy metals due to natural occurrences or anthropogenic factors such as waste disposal and steel manufacturing processes. Among these contaminants, lead (Pb) is a neurotoxin that can reach high concentrations, posing negative impacts on aquatic ecosystems and human health. Lead has the capability to form complexes with fine sediments and organic matter, with its binding strength showing a high correlation with pH and organic matter content. In this study, we estimated the contamination levels of Pb in sediment using electrical resistivity measurements and multivariate statistical techniques. Sediments were appropriately collected and analyzed for total content using aqua regia extraction. The electrical resistivity of sediments was measured using a Sample Core Induced Polarization (SCIP) tester. Collected geochemical and geophysical data were subjected to multivariate statistical analysis to interpret causal relationships between different domains of data and derive regression equations. Based on the derived equations, the study performed estimation and verification of Pb contamination levels based on electrical properties.

저자정보

  • Sunjae Lee Korea University/Korea Institute Science and Technology
  • Seoyoung Song Korea Institute Science and Technology
  • Narae Lee Korea University/Korea Institute Science and Technology
  • Minju Kim Korea Institute Science and Technology/Hanyang University
  • Haeseok Lee Korea University
  • Jaeyoung Choi Korea University/Korea Institute Science and Technology

참고문헌

자료제공 : 네이버학술정보

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